Cargando…
Interplay between Artificial Intelligence and Biomechanics Modeling in the Cardiovascular Disease Prediction
Cardiovascular disease (CVD) is the most common cause of morbidity and mortality worldwide, and early accurate diagnosis is the key point for improving and optimizing the prognosis of CVD. Recent progress in artificial intelligence (AI), especially machine learning (ML) technology, makes it possible...
Autores principales: | Li, Xiaoyin, Liu, Xiao, Deng, Xiaoyan, Fan, Yubo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495955/ https://www.ncbi.nlm.nih.gov/pubmed/36140258 http://dx.doi.org/10.3390/biomedicines10092157 |
Ejemplares similares
-
Editorial: Artificial intelligence to enhance biomechanical modelling
por: David, S., et al.
Publicado: (2023) -
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease( )
por: van Smeden, Maarten, et al.
Publicado: (2022) -
Effectiveness of Artificial Intelligence Models for Cardiovascular Disease Prediction: Network Meta-Analysis
por: Baashar, Yahia, et al.
Publicado: (2022) -
Artificial Intelligence-Based Prediction of Cardiovascular Diseases from Chest Radiography
por: Farina, Juan M., et al.
Publicado: (2023) -
The interplay between prolactin and cardiovascular disease
por: Glezer, Andrea, et al.
Publicado: (2023)